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10 AI, Data Science, Machine Learning Terms You Need to Know in 2020


Do you want to start your career in information technology but unsure about the job opportunities that lie ahead? These s will tell you all about the Artificial intelligence, Machine learning and Data science terms you need to know in 2020. – PowerPoint PPT presentation

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Title: 10 AI, Data Science, Machine Learning Terms You Need to Know in 2020

  • Session 1

  • Planning to make a career in the field of data
    science, machine learning, or artificial
    intelligence, well, there is no better time than
    today. There are a number of AI certificate
    programs, ML certification, and data science
    certification programs that will help you get
    acquainted with complete information about these
    technologies and its implementation.
  • As a part of your data science training program,
    or AI certificate programs, or even in machine
    learning, it becomes essential that you must
    learn some of the common terminologies that you
    will come across during your certification in
    Artificial Intelligence, machine learning, and
    data science program.

Key terms that you must know as AI, ML, and data
science expert
  • AutoML- Or Automated Machine Learning. It is the
    process of automating the process of applying the
    concepts of machine learning to real-world
    problems. As a part of machine learning for
    beginners, you will cover concepts like algorithm
    architecture structure, data pre-processing,
    feature engineering, algorithm selection under
  • Bayesian- If you are planning to pursue
    certification in ML, then it's important to know
    about the statistical tools. One such tool is
    Bayesian, which also plays a key role in decision
    making. It belongs to the category of evidential
    probabilities as a part of this method, we study
    the probability of a hypothesis. This methodology
    stipulates a prior probability.

  • Data Engineer- They are responsible for
    optimizing and managing the storage and retrieval
    of an organization's data. They set a road map on
    how to acquire the data and form a database for
    storing it. These engineers deal with cloud
    services to optimize data storage and form
    algorithms that will be helping drawing
    inferences from the data. A data engineer
    requires knowledge in SQL, computer science, and
    database design.
  • Deepfakes- These are fake images, videos, or
    audio created using Deep Learning and Generative
    Adversarial Networks technology. This is a very
    real technology which gives a more apt result.
    Initially, it became popular where the popular
    celebrities' photos were morphed in adult videos.
    This was misused in Sep 2019, when a company was
    scammed 243K wherein fake CEO's voice was used.

  • MLOps AIOps- MLOps is the implementation of the
    basic practices for developing and deploying
    machine learning models via effective
    collaboration with data scientists and IT
    professionals. Extending the above term, AIOps
    revolves around leveraging AI into the operations
    of a company. It incorporates machine learning
    technologies that derive useful information from
    IT systems. This methodology involves the
    combination of human intelligence with the AI
    algorithm, which enables IT teams to make a more
    formed decision.
  • Natural language processing- It is important for
    learning Artificial Intelligence certification
    programs. Here the AI is trained to comprehend
    human communication. This forms the basis for
    various services like chatbots and translational
    services. Siri and Alexa are an example of the

  • Clickstream analytics- If you are willing to
    become a data science expert, then knowing about
    certain terminology is important. Clickstream
    analytics is the analysis of the way humans
    interact with machines, like recording and then
    analysis of where a mouse is clicked on a screen.
    This is just one of the examples of clickstream
    analysis, it basically is a measure of manual
    operation of machinery.
  • Decision Trees- As a data science expert, you
    would need to know about decision trees. It is
    used by computers to analyze and classify the
    information. The working is simple a series of
    questions about a particular data is fed into the
    system, and then it is channelled as different
    branches into different outputs.

  • Transfer learning- As a part of AI certificate
    programs, you need to learn about different
    processes of AI and how the system works. One
    such concept is transfer learning. The simplest
    way to explain this is that when AI has learned
    about a certain program, it will keep on building
    its knowledge base on it, even if you haven't
    asked the machine to learn about the same. For
    example, if AI can determine, an image is a cat
    or not. It will continue to learn the same. Let's
    say you take an AI, and it spends a week
    identifying shoes after that, it can return back
    to its work on cats with great improvements and
  • Reinforcement learning- It is a type of machine
    learning algorithm where the agency decides what
    would be the right course of action based on
    previous study. It learns optimal actions and
    works on trial and error.

What's next?
  • Data science, AI, and Machine Learning are wider
    terms, and it involves wider terminologies and
    uses cases. To have a complete understanding of
    how each of these technologies work, then you
    need to go for data science training, ml
    certification, and certification in artificial
    intelligence. Global Tech Council offers industry
    standards certification in artificial
    intelligence, ML, and Data Science. Once you have
    completed the certification program, you become
    eligible to implement the concepts in the
    practical field.

Globaltech Council Certifications -
  • You can check out our certifications, and kick
    start your career.
  • Certifies Artificial Intelligence Expert
  • Certified Augmented Reality Developer
  • Certified Chatbot Expert
  • Certified Data Scientist Expert
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  • Learn more about GlobalTech Council click here

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